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问安装TensorFlow 2.4.1时Pipenv无法锁定
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Stack Overflow用户

提问于 2021-01-28 09:49:41

回答 3查看 1.4K关注 0票数 2

2021-02-06:我最终使用pip安装了pip。

原问题如下所示。

正如我在标题中提到的，在安装TensorFlow (ver )时，pipenv无法锁定。2.4.1)。我想知道这个问题的解决办法。

目前的环境是：

macOS大Sur 11.1

python 3.8.7 (pyenv-已安装)

pyenv 1.2.22 (自制-安装)

pipenv 2020.11.15 (自制-安装)

pip 21.0

我所做的和回应是：

mkdir ~/tf && cd ~/tf
pyenv local 3.8.7 ->更改为python 3.8.7
pipenv --python 3.8.7 ->创建虚拟环境，Pipfile
pipenv shell
pip install --upgrade pip ->将pip从20.2.4升级到21.0
pipenv install tensorflow ->

Installing tensorflow...
Adding tensorflow to Pipfile's [packages]...
✔ Installation Succeeded 
Pipfile.lock not found, creating...
Locking [dev-packages] dependencies...
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
✘ Locking Failed! 
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 741, in _main
[ResolutionFailure]:       resolve_packages(pre, clear, verbose, system, write, requirements_dir, packages, dev)
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 702, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 684, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 1395, in resolve_deps
[ResolutionFailure]:       results, hashes, markers_lookup, resolver, skipped = actually_resolve_deps(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 1108, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 833, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
 Alternatively, you can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: Could not find a version that matches tensorflow (from -r /var/folders/66/qc27xk113h97ysq8g96dq6lw0000gn/T/pipenvi9b634u2requirements/pipenv-rgesnhxh-constraints.txt (line 2))
No versions found
Was https://pypi.org/simple reachable?

我尝试了pipenv lock --clear，但是它没有工作，并返回了上面相同的错误消息。

TensorFlow似乎是成功安装的，因为python -c 'import tensorflow as tf; print(tf.__version__)'返回2.4.1，它的版本支持Python3.8.7。我还尝试在虚拟环境之外使用TensorFlow安装pip，并成功地安装了TensorFlow 2.4.1。

这是pipenv graph的结果，它似乎没有依赖冲突(可能有冲突，我没有注意到)。

tensorflow==2.4.1
  - absl-py [required: ~=0.10, installed: 0.11.0]
    - six [required: Any, installed: 1.15.0]
  - astunparse [required: ~=1.6.3, installed: 1.6.3]
    - six [required: >=1.6.1,<2.0, installed: 1.15.0]
    - wheel [required: >=0.23.0,<1.0, installed: 0.36.2]
  - flatbuffers [required: ~=1.12.0, installed: 1.12]
  - gast [required: ==0.3.3, installed: 0.3.3]
  - google-pasta [required: ~=0.2, installed: 0.2.0]
    - six [required: Any, installed: 1.15.0]
  - grpcio [required: ~=1.32.0, installed: 1.32.0]
    - six [required: >=1.5.2, installed: 1.15.0]
  - h5py [required: ~=2.10.0, installed: 2.10.0]
    - numpy [required: >=1.7, installed: 1.19.5]
    - six [required: Any, installed: 1.15.0]
  - keras-preprocessing [required: ~=1.1.2, installed: 1.1.2]
    - numpy [required: >=1.9.1, installed: 1.19.5]
    - six [required: >=1.9.0, installed: 1.15.0]
  - numpy [required: ~=1.19.2, installed: 1.19.5]
  - opt-einsum [required: ~=3.3.0, installed: 3.3.0]
    - numpy [required: >=1.7, installed: 1.19.5]
  - protobuf [required: >=3.9.2, installed: 3.14.0]
    - six [required: >=1.9, installed: 1.15.0]
  - six [required: ~=1.15.0, installed: 1.15.0]
  - tensorboard [required: ~=2.4, installed: 2.4.1]
    - absl-py [required: >=0.4, installed: 0.11.0]
      - six [required: Any, installed: 1.15.0]
    - google-auth [required: >=1.6.3,<2, installed: 1.24.0]
      - cachetools [required: >=2.0.0,<5.0, installed: 4.2.1]
      - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
        - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
      - rsa [required: >=3.1.4,<5, installed: 4.7]
        - pyasn1 [required: >=0.1.3, installed: 0.4.8]
      - setuptools [required: >=40.3.0, installed: 50.3.2]
      - six [required: >=1.9.0, installed: 1.15.0]
    - google-auth-oauthlib [required: >=0.4.1,<0.5, installed: 0.4.2]
      - google-auth [required: Any, installed: 1.24.0]
        - cachetools [required: >=2.0.0,<5.0, installed: 4.2.1]
        - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
          - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
        - rsa [required: >=3.1.4,<5, installed: 4.7]
          - pyasn1 [required: >=0.1.3, installed: 0.4.8]
        - setuptools [required: >=40.3.0, installed: 50.3.2]
        - six [required: >=1.9.0, installed: 1.15.0]
      - requests-oauthlib [required: >=0.7.0, installed: 1.3.0]
        - oauthlib [required: >=3.0.0, installed: 3.1.0]
        - requests [required: >=2.0.0, installed: 2.25.1]
          - certifi [required: >=2017.4.17, installed: 2020.12.5]
          - chardet [required: >=3.0.2,<5, installed: 4.0.0]
          - idna [required: >=2.5,<3, installed: 2.10]
          - urllib3 [required: >=1.21.1,<1.27, installed: 1.26.3]
    - grpcio [required: >=1.24.3, installed: 1.32.0]
      - six [required: >=1.5.2, installed: 1.15.0]
    - markdown [required: >=2.6.8, installed: 3.3.3]
    - numpy [required: >=1.12.0, installed: 1.19.5]
    - protobuf [required: >=3.6.0, installed: 3.14.0]
      - six [required: >=1.9, installed: 1.15.0]
    - requests [required: >=2.21.0,<3, installed: 2.25.1]
      - certifi [required: >=2017.4.17, installed: 2020.12.5]
      - chardet [required: >=3.0.2,<5, installed: 4.0.0]
      - idna [required: >=2.5,<3, installed: 2.10]
      - urllib3 [required: >=1.21.1,<1.27, installed: 1.26.3]
    - setuptools [required: >=41.0.0, installed: 50.3.2]
    - six [required: >=1.10.0, installed: 1.15.0]
    - tensorboard-plugin-wit [required: >=1.6.0, installed: 1.8.0]
    - werkzeug [required: >=0.11.15, installed: 1.0.1]
    - wheel [required: >=0.26, installed: 0.36.2]
  - tensorflow-estimator [required: >=2.4.0,<2.5.0, installed: 2.4.0]
  - termcolor [required: ~=1.1.0, installed: 1.1.0]
  - typing-extensions [required: ~=3.7.4, installed: 3.7.4.3]
  - wheel [required: ~=0.35, installed: 0.36.2]
  - wrapt [required: ~=1.12.1, installed: 1.12.1]

如果您经历过同样的问题并解决了它，请告诉我如何解决这个问题。谢谢。

python

tensorflow

pipenv

回答 3

Stack Overflow用户

回答已采纳

发布于 2021-10-04 01:03:30

我放弃了用Pipenv安装TF，而是用pip安装了TF。正如TF官方网站所建议的那样，用pip安装TF可能是最好的解决方案。谢谢。

票数 0

Stack Overflow用户

发布于 2021-05-22 06:59:50

我不知道你能不能解决这个问题。但我被同样的问题困住了。一个简单的pipenv清除，然后一个pipenv同步(它从pipfile恢复依赖项)帮助解决这个问题，最终pip锁成功了。

票数 1

Stack Overflow用户

发布于 2021-10-03 17:04:53

我在Big上遇到过许多与pipenv有关的锁定问题。我一直能够通过运行以下命令来解决它们(包括这个TF安装问题)：

export SYSTEM_VERSION_COMPAT=1

在做任何事之前。

本质上，它使您的shell标识为Catalina到pipenv。

票数 0

页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持

原文链接：

https://stackoverflow.com/questions/65934634

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